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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining Python services for sports data processing, with a strong focus on data validation, monitoring, and integration with third-party APIs. Possesses a senior ownership mindset, capable of making pragmatic technical decisions and collaborating effectively across teams.
Highest-signal resume keywords
Python DevelopmentDjango FrameworkApache KafkaSQL and PostgreSQLData Pipeline Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
PythonDjangoAsynchronous ProgrammingSQLPostgreSQLData IngestionData TransformationData DistributionAPI IntegrationData Validation
Soft Skills
Problem-SolvingCommunicationCollaborationMentoringOwnership Mindset
Tools & Technologies
Apache KafkaMonitoring ToolsLogging ToolsAlerting Tools
Industry Keywords
Sports DataDistributed SystemsData PipelinesProduction SystemsReal-Time Processing
Tech Stack
Tools & technologiesApacheDistributed SystemsDjangoKafkaPostgresPythonSQL
About the role
Key responsibilities & impact- Design, build, and maintain Python services for sports data ingestion, transformation, and distribution
- Integrate with third-party sports data providers and handle differences between provider models, formats, and update patterns
- Build reliable pipelines for near real-time and batch data processing
- Improve data validation, reconciliation, monitoring, alerting, and replay tooling
- Work on domain models for events, competitions, participants, markets, odds, scores, and related sports entities
- Investigate production issues, trace data problems, and improve system observability
- Collaborate with backend, product, trading, QA, and platform teams to deliver dependable data flows
- Contribute to architecture decisions, code reviews, technical standards, and mentoring within the squad.
Requirements
What you’ll need- 5+ years of strong production experience with Python
- Experience designing and operating backend services in production
- Solid Django experience (not necessarily expert level), with asynchronous programming skills (asyncio)
- Production experience with Apache Kafka
- Solid understanding of APIs, distributed systems, async processing, and data pipelines
- Strong SQL skills and experience with relational databases, especially PostgreSQL
- Experience integrating with external APIs, feeds, or third-party data providers
- Ability to reason carefully about data correctness, edge cases, and failure modes
- Experience with monitoring, logging, alerting, and debugging production systems
- A senior ownership mindset: you can break down ambiguous problems, make pragmatic technical decisions, and communicate clearly
- Strong problem-solving skills and comfort doing code reviews
- Willingness to participate in on-call rotations.
Benefits
Comp & perks- We celebrate diversity and are committed to creating an inclusive environment for all employees.
- Applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
